estimate_calibration_error

Estimate calibration error using a 5-fold cross-validation. A 5-fold
cross-validation was chosen as each calibration window should have
at least 6 data points (e.g., if only daily validation data are used for the
calibration) and therefore this ensures that the cross-validation should
always run. Model is fit using <code>lm</code>, with root-mean-square error
(RMSE) and mean-absolute error (MAE) extracted from the cross-validation.

Functions for downloading,
calibrating, and analyzing atmospheric isotope data bundled
into the eddy covariance data products of the National Ecological
Observatory Network (NEON) <https://www.neonscience.org>.
Calibration tools are provided for carbon and water isotope products.
Carbon isotope calibration details are found in Fiorella et al. (2021)
<doi:10.1029/2020JG005862>, and the readme
file at <https://github.com/lanl/NEONiso>. Tools for calibrating water
isotope products have been added as of 0.6.0, but have known deficiencies
and should be considered experimental and unsupported.

Rich Fiorella

NEONiso

Tools to Calibrate and Work with NEON Atmospheric Isotope Data

estimate_calibration_error function

<dl><dt>formula</dt>
<dd>Formula to pass to lm for cross validation.</dd>
<dt>data</dt>
<dd>Data frame to perform cross-validation on.</dd></dl>

Arguments

Rich Fiorella <a href="/link/rfiorella%40lanl.gov?package=NEONiso&version=0.8.0" data-mini-rdoc="NEONiso::rfiorella@lanl.gov">rfiorella@lanl.gov</a>

Author

Produce estimates of the calibration error. — estimate_calibration_error

<dl>

<dt>formula</dt>
<dd>Formula to pass to lm for cross validation.</dd>


<dt>data</dt>
<dd>Data frame to perform cross-validation on.</dd>

</dl>

Rich Fiorella <a href='mailto:rfiorella@lanl.gov'>rfiorella@lanl.gov</a>

estimate_calibration_error: Produce estimates of the calibration error.

Description

Usage

Arguments

Author